Marquette University

How this program compares

At an estimated $13.9K in total tuition, the Certificate in Machine Learning for Engineering Apps sits about 27% above the $11.0K average for AI certificate programs in our database — placing it in the 73rd percentile on cost among the 180 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in engineering, computer science, or a related quantitative field with a minimum GPA of 3.0 is required, along with demonstrated proficiency in programming (e.g., Python) and basic linear algebra.

About This Program

This graduate certificate program develops the capabilities required to apply machine learning tools to solve complex problems across a variety of application domains. Coursework concentrates on Deep Learning and Machine Learning. Most students complete it in about 1 year.

It is one of 25 AI-related programs we track in Wisconsin, of which about 56% offer an online option. On price, it comes in cheaper than about 72% of the Wisconsin programs in our data, where typical tuition runs near $34.7K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Implement supervised and unsupervised ML models for engineering datasets.

At roughly $13.9K total, Marquette University's Certificate in Machine Learning for Engineering Apps sits above the $11.0K average among AI certificate programs we track — the 73rd percentile on price. Applicants should weigh that premium against the program's outcomes and brand.

Career Outcomes

Marquette University positions this certificate track for Machine Learning Engineer careers — typical offers cluster around $120,000. Its focus on Deep Learning and Machine Learning maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. ML Engineer for Engineering Systems
• 2. Data Scientist in Manufacturing
• 3. Predictive Analytics Specialist
• 4. AI Systems Engineer

What You'll Learn

• Implement supervised and unsupervised ML models for engineering datasets
• Apply deep learning techniques to optimize engineering systems
• Develop predictive models for failure analysis and resource allocation
• Integrate ML algorithms into real-world engineering applications

Curriculum Highlights

The program requires 12 credit hours, including a core machine learning course and electives such as data mining, visual analytics, or algorithms.

Top Employers

Top employers include engineering firms like Boeing, General Electric, Siemens, and tech companies such as Google and Amazon applying ML to industrial solutions.

Admissions

Admission to Marquette University's Certificate in Machine Learning for Engineering Apps generally expects a bachelor's degree. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions